Stimulation Modeling For Solvingeconomic Tasks In Industry: Theory And Praxis

In October 2013 the 6 All-Russian practical conference “Stimulation modeling : theory and praxis†dedicated to the issue: “Stimulation modeling, its application in science and industry†has been held in Kazan. The conference has been hosted by the Academy of Sciences, Tatarstan republic (Kazan), OOO “Elina-Computer†(Kazan), nonprofit partnership “National society of imitation modeling†(St. Petersburg) und was supported by the Tatarstan Republic Government, the Section of nanotechnologies and information technologies, the Russian Academy of Sciences (SNIT RAS, Moscow), the Institute of Informatics and Automation, the Russian Academy of Sciences (St. Peterburg), OAO “The Centre for shipbuilding and shiprepair†(St. Peterburg), the Anylogic Company (St. Peterburg), OAP ICL KPO VS (Kazan). A.M. Mazgarov , the Tatarstan Republic Academy of Sciences President (Kazan), Tatarstan Republic AS academician, R.P. Yusupov, SPIIRAN director (St. Peterburg) RAS corresponding member, President of the National Society for imitation modeling appeared as co-chairmen. The conference reports were dedicated to the problems of theory development and theory generalizion , of imitation modeling and technology. The experience have been exchanged, the results of scientific investigations and practical application of imitation modeling in industry, logistics and other economy field discussed. The conference participants got acquainted with the newest automation and imitation modeling visualization means, discussed the scientific investigations and practical application of imitation modeling experience popularization. The conference program included 142 reports and demonstrations of industry models. Specialists from Russia, Ukraine, Byelorussia, Latvia, Germany and China representing more than 100 organizations from 41 cities participated at the conference. The article presents reviews of reports reflexing specific theoretical and practical aspects in the field of imitation modeling and business processes management.